Recommended expert
Prasanna Hegde
Master's Thesis Student
Experience
Apr 2024 - Nov 2024
8 monthsGermany
Master's Thesis Student
Robotics Research Lab, TU Kaiserslautern
- Benchmarked datasets, collected real-world off-road data (~9000 images) and generated simulation datasets using Unreal Engine.
- Developed Gen-AI image segmentation in Unreal Engine, reducing time from 1-2 days to 5-10 minutes.
- Built Generative AI data enhancement pipeline. Achieved an improvement in synthetic data by +49% mIoU.
- Tech: Python, PyTorch, C++, Git, LangChain, Gen-AI, Linux, W&B, OpenCV, Labelme.
Jan 2024 - Jul 2024
7 monthsUlm, Germany
Data Scientist Working Student
Bosch Rexroth
- Designed pilot backend ETL architecture with Azure (Cosmos DB, Blob Storage, Functions triggers) by combining and cleaning big data from different sources.
- Built frontend data analysis & visualization tools (PoC) with FastAPI, Python, Streamlit for semi-structured data.
- Leveraged Azure Functions to automate data pipeline, resulting in 25% reduction in time over manual data pipeline.
- Developed FAST APIs for cloud data retrieval & storage and delivered production-ready code with Git and CI/CD.
- Developed Power BI dashboards to collaborate across teams to offer better product decisions and services.
- Tech: Python (Pandas, matplotlib), Azure (Cosmos DB, Blob, Functions), FastAPI, SQL/NoSQL, Agile, Kanban.
Jun 2023 - Nov 2023
6 monthsHomburg, Germany
Intern Data Scientist
Bosch Rexroth
- Cleaned, manipulated, and extracted features from production data for data analysis, visualization and supervised machine learning.
- Collected quality data and performed statistical analysis using Q-DAS qs-STAT to evaluate & enhance model performance.
- Predicted production part quality with ML, enabling real-time defect detection and eliminating 1–2-day delays from manual inspections.
- Automated Power BI dashboards, enabling real-time KPI monitoring and anomaly detection, reducing issue response time by 20%.
- Tech: Python (Pandas, NumPy, matplotlib), scikit-learn, MLFlow, Power BI, Q-DAS.
Jul 2018 - Aug 2021
3 years 2 monthsIndia
Design Engineer
Actalent Engineering & Sciences Services
- Developed CAD parts & technical drawings with 98% first-time-right rate.
- Managed BOMs & PLM data in SAP and Siemens Teamcenter. Created technical documentation.
- Conducted risk analysis (FMEA) & automated part generation using Python NX journaling.
- Collaborated with stakeholders and suppliers to address critical design issues.
Summary
A highly analytical, curious & motivated Data Scientist with experience in ML, DL, and Generative AI. Proven experience in building data analysis tools, fine-tuning LLMs and LLM based application development. Experienced in API development, ETL, ELT, data visualization and cloud deployment (Azure, AWS). Strong mechanical engineering background with proven ability to apply data-driven solutions and statistical analysis to real-world challenges.
Skills
- Programming: Python, C++ (Familiar), R (Basics)
- Python Libraries & Frameworks: Scikit-learn, Tensorflow, Pytorch, Langchain, Transformers.
- Development Tools: Git, Github Actions Ci/cd, Git Hub Copilot, Docker, Mlflow.
- Api Development: Fastapi, Streamlit.
- Databases & Visualization: Sql, Nosql, Vector Database, Power Bi, Plotly, Matplotlib.
- Cloud: Azure Services, Aws, Spark, Databricks.
- Other Skills: Data Annotation, Agile Project Management, Kanban, Statistics.
- Soft Skills: Analytical Thinking, Teamwork, Collaboration.
Languages
English
AdvancedHindi
AdvancedKannada
AdvancedGerman
IntermediateEducation
Oct 2021 - Nov 2024
TU Kaiserslautern
Master of Science, Computer Science focused · Commercial vehicle technology · Kaiserslautern, Germany · 1.6
Aug 2014 - Jun 2018
NIE
Bachelor of Engineering · Mechanical Engineering · Mysuru, India · 1.51
Certifications & licenses
AWSCloudPractitioner(CLF-C02)
Deep Learning Specialization
DeepLearning.AI
IBM Data Science Professional Certificate
Machine Learning Specialization
DeepLearning.AI
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